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Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency

Stuhlenmiller, Florian ; Weyand, Steffi ; Jungblut, Jens ; Schebek, Liselotte ; Clever, Debora ; Rinderknecht, Stephan (2021)
Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency.
In: Robotics, 10 (1)
doi: 10.3390/robotics10010033
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

Modern industry benefits from the automation capabilities and flexibility of robots. Consequently, the performance depends on the individual task, robot and trajectory, while application periods of several years lead to a significant impact of the use phase on the resource efficiency. In this work, simulation models predicting a robot’s energy consumption are extended by an estimation of the reliability, enabling the consideration of maintenance to enhance the assessment of the application’s life cycle costs. Furthermore, a life cycle assessment yields the greenhouse gas emissions for the individual application. Potential benefits of the combination of motion simulation and cost analysis are highlighted by the application to an exemplary system. For the selected application, the consumed energy has a distinct impact on greenhouse gas emissions, while acquisition costs govern life cycle costs. Low cycle times result in reduced costs per workpiece, however, for short cycle times and higher payloads, the probability of required spare parts distinctly increases for two critical robotic joints. Hence, the analysis of energy consumption and reliability, in combination with maintenance, life cycle costing and life cycle assessment, can provide additional information to improve the resource efficiency.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Stuhlenmiller, Florian ; Weyand, Steffi ; Jungblut, Jens ; Schebek, Liselotte ; Clever, Debora ; Rinderknecht, Stephan
Art des Eintrags: Bibliographie
Titel: Impact of Cycle Time and Payload of an Industrial Robot on Resource Efficiency
Sprache: Englisch
Publikationsjahr: 12 Februar 2021
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Robotics
Jahrgang/Volume einer Zeitschrift: 10
(Heft-)Nummer: 1
DOI: 10.3390/robotics10010033
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Kurzbeschreibung (Abstract):

Modern industry benefits from the automation capabilities and flexibility of robots. Consequently, the performance depends on the individual task, robot and trajectory, while application periods of several years lead to a significant impact of the use phase on the resource efficiency. In this work, simulation models predicting a robot’s energy consumption are extended by an estimation of the reliability, enabling the consideration of maintenance to enhance the assessment of the application’s life cycle costs. Furthermore, a life cycle assessment yields the greenhouse gas emissions for the individual application. Potential benefits of the combination of motion simulation and cost analysis are highlighted by the application to an exemplary system. For the selected application, the consumed energy has a distinct impact on greenhouse gas emissions, while acquisition costs govern life cycle costs. Low cycle times result in reduced costs per workpiece, however, for short cycle times and higher payloads, the probability of required spare parts distinctly increases for two critical robotic joints. Hence, the analysis of energy consumption and reliability, in combination with maintenance, life cycle costing and life cycle assessment, can provide additional information to improve the resource efficiency.

Freie Schlagworte: industrial robotics, motion planning, resource efficiency, life cycle costs, greenhouse gas emissions
Fachbereich(e)/-gebiet(e): 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut IWAR - Wasser- und Abfalltechnik, Umwelt- und Raumplanung
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut IWAR - Wasser- und Abfalltechnik, Umwelt- und Raumplanung > Fachgebiet Stoffstrommanagement und Ressourcenwirtschaft
16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Mechatronische Systeme im Maschinenbau (IMS)
Hinterlegungsdatum: 02 Mär 2021 06:24
Letzte Änderung: 03 Jul 2024 02:50
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